Irawan Dwi Wahyono, Khoirudin Asfani, Mohd Murtadha Mohamad, Djoko Saryono, Hari Putranto, Mohd Nihra Haruzuan Bin Mohamad Said
In a new normal era, all teachers use online learning to teach their students. Each of the teachers makes the material in online learning, so it makes problems in online learning and students, there are many materials on the same topic and the same subjects that make useless and overlap in the material of teaching. The purpose of this research solves this problem. This research makes a system that can classify based on the topics and the subjects in online learning, so teachers do not make another material and became overload in database online learning. The system uses Artificial intelligence to classify the material based on topic and subject. The processing in classification use model of document classification. The processing has 2 processing that are modeling the training of document and classification documents based on the features of document. The system was tested in existing online learning and use 2 of testing the application to get accuracy and validation. The first testing is that the accuracy in this testing is check a functional of naive Bayes algorithm. This aim in this is to get accuracy, precision and recall in the algorithm. The second of test is that application is validated by validator to get valid or no valid about the result. All of testing given a significant average both testing in algorithm and testing in validation. The average of rate all testing is 83, 5% that this research success to classify the material on online learning based on specific subject © 2021 IEEE.
Universitas Negeri Malang, Faculty of Engineering, Malang, Indonesia; Universiti Teknologi Malaysia, Faculty of Engineering, Malaysia; Universitas Negeri Malang, Faculty of Letter, Malang, Indonesia
